Evidence map›Paper›PMID 30705294›Full record

ArticleScientific reports2019

Advanced measurement and diagnosis of the effect on the underlayer roughness for industrial standard metrology.

Jung-Hwan Kim, Seunghyun Moon, Ji-Woong Kim, Donggun Lee, Byong Chon Park, Dal-Hyun Kim, Yoojin Jeong, Sean Hand, Jason Osborne, Peter De Wolf and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jung-Hwan KimScientific Instruments Reliability Assessment Center/Smart Open Lab., Korea Basic Science Institute, Daejeon, 34113, Republic of Korea.
Seunghyun MoonDivision of Industrial Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Ji-Woong KimBruker Semiconductor, 112 Robin Hill Road, CA, Santa Barbara, 93117, USA.
Donggun LeeProgram in Nano Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Byong Chon ParkDivision of Industrial Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Dal-Hyun KimDivision of Industrial Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Yoojin JeongBruker Semiconductor, 112 Robin Hill Road, CA, Santa Barbara, 93117, USA.
Sean HandBruker Semiconductor, 112 Robin Hill Road, CA, Santa Barbara, 93117, USA.
Jason OsborneBruker Semiconductor, 112 Robin Hill Road, CA, Santa Barbara, 93117, USA.
Peter De WolfBruker Semiconductor, 112 Robin Hill Road, CA, Santa Barbara, 93117, USA.
Youn Sang KimProgram in Nano Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea. younskim@snu.ac.kr.ORCID http://orcid.org/0000-0002-4580-2037
ChaeHo ShinDivision of Industrial Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea. chaeho.shin@kriss.re.kr.

Funding

Korea Basic Science Institute (KBSI) G38120Korea Research Institute of Standards and Science (KRISS) KRISS – 2018 – GP2018-0010
6 · The paper itself

Abstract

In current nanoscale semiconductor fabrications, high dielectric materials and ultrathin multilayers have been selected to improve the performance of the devices. Thus, interface effects between films and the quantification of surface information are becoming key issues for determining the performance of the semiconductor devices. In this paper, we developed an easy, accurate, and nondestructive diagnosis to investigate the interface effect of hafnium oxide ultrathin films. A roughness scaling method that artificially modified silicon surfaces with a maximum peak-to-valley roughness range of a few nanometers was introduced to examine the effect on the underlayer roughness. The critical overlayer roughness was be defined by the transition of RMS roughness which was 0.18 nm for the 3 nm thick hafnium oxide film. Subsequently, for the inline diagnostic application of semiconductor fabrication, the roughness of a mass produced hafnium film was investigated. Finally, we confirmed that the result was below the threshold set by our critical roughness. The RMS roughness of the mass produced hafnium oxide film was 0.11 nm at a 500 nm field of view. Therefore, we expect that the quantified and standardized critical roughness managements will contribute to improvement of the production yield.

Identifiers

PMID30705294
PMCPMC6355768

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.